Capability maturity models towards improved quality of the sustainable development goals indicators data

Ignacio Marcovecchio, M. Thinyane, Elsa Estevez, P. Fillottrani
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引用次数: 7

Abstract

Achieving the Sustainable Development Goals (SDGs) demands coping with the data revolution for sustainable development: the integration of new and traditional data to produce high-quality information that is detailed, timely, and relevant for multiple purposes and to a variety of users. The quality of this information, defined by its completeness, uniqueness, timeliness, validity, accuracy, and consistency, is crucial for appropriate decision making; which leads to improvements in advancing national development imperatives for reaching the goals and targets of the sustainable development agenda. In this paper, we posit that the more mature the organizations within the national data ecosystems are, the higher the quality of data that they produce. The paper motivates for the adoption and mainstreaming of organizational Capability Maturity Models within the SGDs activities. It also presents the preliminary formulation of a multidimensional prescriptive Capability Maturity Model to assess and improve the maturity of organizations within national data ecosystems and, therefore, the effective monitoring of the progress on the SDG targets through the production of better quality indicators data. Furthermore, the paper provides recommendation towards addressing the challenges within the increasingly data-driven domain of social indicators monitoring.
提高可持续发展目标指标数据质量的能力成熟度模型
实现可持续发展目标(sdg)需要应对可持续发展的数据革命:整合新数据和传统数据,以产生详细、及时且与多种目的和各种用户相关的高质量信息。信息的质量,即完整性、唯一性、及时性、有效性、准确性和一致性,对于适当的决策至关重要;这导致在推进实现可持续发展议程的目标和指标的国家发展任务方面有所改进。在本文中,我们假设国家数据生态系统内的组织越成熟,它们产生的数据质量就越高。本文鼓励在SGDs活动中采用和主流化组织能力成熟度模型。它还提出了多维规定性能力成熟度模型的初步制定,以评估和提高国家数据生态系统内组织的成熟度,从而通过产生更高质量的指标数据来有效监测可持续发展目标具体目标的进展情况。此外,本文还就如何应对日益数据驱动的社会指标监测领域的挑战提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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